AI/ML Engineer

Job Summary

Job Requirements

• Design and build intelligent AI agents capable of reasoning, planning, tool use, and multi-step task execution.
• The ideal candidate brings 5–8 years of hands-on experience deploying AI/ML solutions in production, with deep expertise in AI agents, LLM integration and optimization, RAG architectures, and modern ML frameworks.
• Proficiency in Python is required, along with working knowledge of Go and front-end frameworks (React/Streamlit/Gradio).
• Architect and optimize LLM-powered systems including token optimization, cost-efficient inference, prompt engineering frameworks, and caching mechanisms.
• Candidates should have strong experience with vector databases, MLOps practices, containerized deployment (Docker/Kubernetes), and cloud AI/ML services (AWS SageMaker, Azure ML, GCP Vertex AI). A solid foundation in classical ML/DL fundamentals, distributed systems, and software engineering best practices is essential.
• Build and scale advanced RAG pipelines with hybrid search, re-ranking, agentic retrieval, and dynamic knowledge base integration.
• Develop and maintain MLOps pipelines for model training, evaluation, deployment, and monitoring at scale.
• Fine-tune and customize foundation models for domain-specific use cases in storage, cloud infrastructure, and enterprise operations.Build large-scale, fault-tolerant, low-latency distributed systems for real-time AI inference.
• Contribute to POCs and incubation projects that shape NetApp's AI/ML roadmap and long-term product vision.
• Explore unconventional AI architectures — including multi-modal AI, edge inference, and distributed training.
• Collaborate cross-functionally with engineers, data scientists, and product teams from problem definition through deployment and early customer support.
• Stay current with the evolving AI/ML landscape and drive adoption of emerging models, frameworks, and techniques that deliver business value.
• Experience in the storage/cloud domain is a strong plus. We value strong communicators who are passionate about responsible AI, quality, and meeting deadlines.
• Education
• IC - Typically requires a minimum of 5 years of related experience.
• Bachelor/Master of Engineering in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field or equivalent experience.
• At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
• NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.
• Why You'll Thrive at NetApp
• At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.
• NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.
• Our culture
• We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.
• If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now.
• Submitting an Application
• To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.
• AI Disclosure
• For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

Education